Data provided by National Institute of Standards and Technology
iKAT is the successor to the TREC Conversational Assistance Track (CAsT). The fourth year of CAST aimed to add more conversational elements to the interaction streams, by introducing mixed initiatives (clarifications, and suggestions) to create multi-path, multi-turn conversations for each topic. TREC iKAT evolves CAsT into a new track to signal this new trajectory. iKAT aims to focus on supporting multi-path, multi-turn, multi-perspective conversations. That is for a given topic, the direction and the conversation that evolves depends not only on the prior responses but also on the user.
About this Dataset
Updated: 2025-04-06
Metadata Last Updated:
2024-05-09 00:00:00
Date Created:
N/A
Data Provided by:
Dataset Owner:
N/A
| Title | TREC 2023 Interactive Knowledge Acquisition Track dataset |
|---|---|
| Description | iKAT is the successor to the TREC Conversational Assistance Track (CAsT). The fourth year of CAST aimed to add more conversational elements to the interaction streams, by introducing mixed initiatives (clarifications, and suggestions) to create multi-path, multi-turn conversations for each topic. TREC iKAT evolves CAsT into a new track to signal this new trajectory. iKAT aims to focus on supporting multi-path, multi-turn, multi-perspective conversations. That is for a given topic, the direction and the conversation that evolves depends not only on the prior responses but also on the user. |
| Modified | 2024-05-09 00:00:00 |
| Publisher Name | National Institute of Standards and Technology |
| Contact | mailto:[email protected] |
| Keywords | TREC text retrieval conference |
{
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"fn": "Ian Soboroff"
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"title": "TREC 2023 Interactive Knowledge Acquisition Track dataset",
"description": "iKAT is the successor to the TREC Conversational Assistance Track (CAsT). The fourth year of CAST aimed to add more conversational elements to the interaction streams, by introducing mixed initiatives (clarifications, and suggestions) to create multi-path, multi-turn conversations for each topic. TREC iKAT evolves CAsT into a new track to signal this new trajectory. iKAT aims to focus on supporting multi-path, multi-turn, multi-perspective conversations. That is for a given topic, the direction and the conversation that evolves depends not only on the prior responses but also on the user.",
"language": [
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"accessURL": "https:\/\/drive.google.com\/file\/d\/1sNHmVYO9PVG2kFxLscPGhN-uCCUuDAu9\/view?usp=sharing",
"title": "Training topics"
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{
"accessURL": "https:\/\/drive.google.com\/file\/d\/1zPSiAqLmbx9QFGm6walnuMUl7xoJmRB7\/view?usp=sharing",
"title": "Test Topics"
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{
"accessURL": "https:\/\/trec.nist.gov\/data\/ikat\/2023-qrels.all-turns.txt",
"title": "Supporting documents relevance judgments"
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"title": "Personal Text Knowledge Base (PTKB) relevance judgments"
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"theme": [
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